2022
DOI: 10.1007/s00027-022-00882-3
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Characterizing spatial and temporal variation in stable hydrogen isotopes (δ2H) between two distinct lentic freshwater food webs

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“…The single most likely contributor to this variation for waterfowl is the mismatch between predicted food web water δ 2 H based on precipitation and that manifested on the ground. Other authors have pointed to the effects of evapotranspiration in small wetlands [ 53 ] as well as differential inputs from snowmelt and complex hydrology [ 77 ], but other sources of inter- and intraspecific variation, such as diet, timing of moult, and metabolic routing [ 52 , 78 ], also undoubtedly contribute. This unexplained variability within these calibration models may be enough to mask these differences in fit between the MA or MGS methods, nullifying the usefulness of more specific or more general δ 2 H p measurements.…”
Section: Discussionmentioning
confidence: 99%
“…The single most likely contributor to this variation for waterfowl is the mismatch between predicted food web water δ 2 H based on precipitation and that manifested on the ground. Other authors have pointed to the effects of evapotranspiration in small wetlands [ 53 ] as well as differential inputs from snowmelt and complex hydrology [ 77 ], but other sources of inter- and intraspecific variation, such as diet, timing of moult, and metabolic routing [ 52 , 78 ], also undoubtedly contribute. This unexplained variability within these calibration models may be enough to mask these differences in fit between the MA or MGS methods, nullifying the usefulness of more specific or more general δ 2 H p measurements.…”
Section: Discussionmentioning
confidence: 99%